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Axiomatic Attribution for Deep Networks

4 March 2017

Ankur Taly

Papers citing "Axiomatic Attribution for Deep Networks"

50 / 2,871 papers shown

Title
ChaosMining: A Benchmark to Evaluate Post-Hoc Local Attribution Methods in Low SNR Environments Ge Shi Ziwen Kan J. Smucny Ian Davidson 93 0 0 17 Jun 2024
MEMLA: Enhancing Multilingual Knowledge Editing with Neuron-Masked Low-Rank Adaptation Jiakuan Xie Pengfei Cao Yuheng Chen Yubo Chen Kang Liu Jun Zhao KELM 98 6 0 17 Jun 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 102 2 0 17 Jun 2024
Inpainting the Gaps: A Novel Framework for Evaluating Explanation Methods in Vision Transformers Lokesh Badisa Sumohana S. Channappayya 111 0 0 17 Jun 2024
On the Feasibility of Fidelity $^-$ for Graph Pruning Yong-Min Shin Won-Yong Shin 64 0 0 17 Jun 2024
P-TA: Using Proximal Policy Optimization to Enhance Tabular Data Augmentation via Large Language Models Shuo Yang Chenchen Yuan Yao Rong Felix Steinbauer Gjergji Kasneci 91 1 0 17 Jun 2024
Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings Hiroaki Yamagiwa Momose Oyama Hidetoshi Shimodaira LLMSV 88 2 0 16 Jun 2024
IG2: Integrated Gradient on Iterative Gradient Path for Feature Attribution Yue Zhuo Zhiqiang Ge 62 9 0 16 Jun 2024
E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks Dingqiang Yuan Xiaohua Xu Lei Yu Tongchang Han Rongchang Li Meng Han AAML 73 1 0 15 Jun 2024
Phoneme Discretized Saliency Maps for Explainable Detection of AI-Generated Voice Shubham Gupta Mirco Ravanelli Pascal Germain Cem Subakan FAtt 72 4 0 14 Jun 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Pre-trained Language Models Yan Liu Yu Liu Xiaokang Chen Pin-Yu Chen Daoguang Zan Min-Yen Kan Tsung-Yi Ho 112 2 0 14 Jun 2024
Challenges in explaining deep learning models for data with biological variation Lenka Tětková E. Dreier Robin Malm Lars Kai Hansen AAML 74 1 0 14 Jun 2024
Neural Concept Binder Wolfgang Stammer Antonia Wüst David Steinmann Kristian Kersting OCL 102 7 0 14 Jun 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records Joakim Edin Maria Maistro Lars Maaløe Lasse Borgholt Jakob Drachmann Havtorn Tuukka Ruotsalo FAtt 86 5 0 13 Jun 2024
Updating CLIP to Prefer Descriptions Over Captions Amir Zur Elisa Kreiss Karel DÓosterlinck Christopher Potts Atticus Geiger 76 3 0 12 Jun 2024
Applications of Explainable artificial intelligence in Earth system science Feini Huang Shijie Jiang Lu Li Yongkun Zhang Ye Zhang Ruqing Zhang Qingliang Li Danxi Li Wei Shangguan Yongjiu Dai 77 2 0 12 Jun 2024
MambaLRP: Explaining Selective State Space Sequence Models F. Jafari G. Montavon Klaus-Robert Müller Oliver Eberle Mamba 269 11 0 11 Jun 2024
Compositional Video Generation as Flow Equalization Xingyi Yang Xinchao Wang DiffM VGen 128 7 0 10 Jun 2024
Explainable Graph Neural Networks Under Fire Zhong Li Simon Geisler Yuhang Wang Stephan Günnemann M. Leeuwen AAML 79 1 0 10 Jun 2024
FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography Julia Yang Alina Jade Barnett Jon Donnelly Satvik Kishore Jerry Fang F. Schwartz Chaofan Chen Joseph Y. Lo Cynthia Rudin MedIm 60 1 0 10 Jun 2024
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks Zhiyu Zhu Jiayu Zhang Xinyi Wang Zhibo Jin Huaming Chen AAML 63 1 0 09 Jun 2024
Understanding Inhibition Through Maximally Tense Images Chris Hamblin Srijani Saha Talia Konkle George Alvarez FAtt 52 0 0 08 Jun 2024
Attri-Net: A Globally and Locally Inherently Interpretable Model for Multi-Label Classification Using Class-Specific Counterfactuals Susu Sun S. Woerner Andreas Maier Lisa M. Koch Christian F. Baumgartner FAtt 77 1 0 08 Jun 2024
Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker Ananta R. Bhattarai Jindong Gu Volker Tresp Florian Buettner 77 3 0 07 Jun 2024
Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations Benjamin Frész Lena Lörcher Marco F. Huber 64 5 0 07 Jun 2024
Leveraging Activations for Superpixel Explanations Ahcène Boubekki Samuel G. Fadel Sebastian Mair AAML FAtt XAI 66 0 0 07 Jun 2024
Memorization in deep learning: A survey Jiaheng Wei Yanjun Zhang Leo Yu Zhang Ming Ding Chao Chen Kok-Leong Ong Jun Zhang Yang Xiang 121 7 0 06 Jun 2024
Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification Jiaming Qu Jaime Arguello Yue Wang FAtt 70 1 0 05 Jun 2024
Post-hoc Part-prototype Networks Andong Tan Fengtao Zhou Hao Chen 60 5 0 05 Jun 2024
Enhancing predictive imaging biomarker discovery through treatment effect analysis Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein 52 0 0 04 Jun 2024
Explainable Deep Learning Analysis for Raga Identification in Indian Art Music Parampreet Singh Vipul Arora 44 3 0 04 Jun 2024
Understanding Retrieval Robustness for Retrieval-Augmented Image Captioning Wenyan Li Jiaang Li R. Ramos Raphael Tang Desmond Elliott VLM 123 3 0 04 Jun 2024
CAFO: Feature-Centric Explanation on Time Series Classification Jaeho Kim S. Hahn Yoontae Hwang Junghye Lee Seulki Lee AI4TS 59 1 0 03 Jun 2024
Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions Sanjay Kariyappa Freddy Lecue Saumitra Mishra Christopher Pond Daniele Magazzeni Manuela Veloso 77 2 0 03 Jun 2024
Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP S. Balasubramanian Samyadeep Basu Soheil Feizi CLIP 79 6 0 03 Jun 2024
Expected Grad-CAM: Towards gradient faithfulness Vincenzo Buono Peyman Sheikholharam Mashhadi M. Rahat Prayag Tiwari Stefan Byttner FAtt 75 1 0 03 Jun 2024
Achieving Sparse Activation in Small Language Models Jifeng Song Kai Huang Xiangyu Yin Boyuan Yang Wei Gao 89 4 0 03 Jun 2024
Automatic Input Feature Relevance via Spectral Neural Networks Lorenzo Chicchi L. Buffoni Diego Febbe Lorenzo Giambagli Raffaele Marino Duccio Fanelli 82 1 0 03 Jun 2024
Length-scale study in deep learning prediction for non-small cell lung cancer brain metastasis Haowen Zhou Steven S. Lin Mark Watson Cory T. Bernadt Oumeng Zhang R. Govindan R. Cote Changhuei Yang 36 1 0 01 Jun 2024
Towards Trustworthy AI: A Review of Ethical and Robust Large Language Models Meftahul Ferdaus Mahdi Abdelguerfi Elias Ioup Kendall N. Niles Ken Pathak Steve Sloan 128 14 0 01 Jun 2024
A Sim2Real Approach for Identifying Task-Relevant Properties in Interpretable Machine Learning Eura Nofshin Esther Brown Brian Lim Weiwei Pan Finale Doshi-Velez 103 0 0 31 May 2024
Multilingual Text Style Transfer: Datasets & Models for Indian Languages Sourabrata Mukherjee Atul Kr. Ojha Akanksha Bansal D. Alok John P. Mccrae Ondrej Dusek VLM 63 7 0 31 May 2024
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models D. Kridel Jacob Dineen Daniel R. Dolk David G. Castillo 46 4 0 31 May 2024
Searching for internal symbols underlying deep learning J. H. Lee Sujith Vijayan AI4CE 92 0 0 31 May 2024
Applications of interpretable deep learning in neuroimaging: a comprehensive review Lindsay Munroe Mariana da Silva Faezeh Heidari I. Grigorescu Simon Dahan E. C. Robinson Maria Deprez Po-Wah So AI4CE 58 7 0 30 May 2024
XPrompt:Explaining Large Language Model's Generation via Joint Prompt Attribution Yurui Chang Bochuan Cao Yujia Wang Jinghui Chen Lu Lin LRM 85 2 0 30 May 2024
Unified Explanations in Machine Learning Models: A Perturbation Approach Jacob Dineen D. Kridel Daniel R. Dolk David G. Castillo AAML FAtt 58 1 0 30 May 2024
Explainable Attribute-Based Speaker Verification Xiao-lan Wu Chau Luu Peter Bell Ajitha Rajan 79 5 0 30 May 2024
Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals Yupei Wang Renfen Hu Zhe Zhao 86 3 0 29 May 2024
Modeling Long Sequences in Bladder Cancer Recurrence: A Comparative Evaluation of LSTM,Transformer,and Mamba Runquan Zhang Jiawen Jiang Xiaoping Shi 22 0 0 28 May 2024